Kernel density estimators, which map a utilization distribution, are one of the most popular methods for measuring home ranges. I show how to create kernel home range estimates in R using sample data.
The code and data used are available on my GitHub page. This post builds on my previous post estimating home ranges with minimum convex polygons. Comments are closed.
|
AuthorJames Paterson Archives
September 2023
Categories
All
|